select_dataset() now creates a subsetted metacore
object that is a subclass of Metacore called
DatasetMeta.- Objects of
DatasetMeta subclass will be expected as
input to {metatools} functions going forward.
- Print statement updated for both combined Metacore and subsetted
DatasetMeta objects. This should be more informative and highlight the
difference between the two object types (i.e., all datasets vs. single
dataset).
- Errors and warning messages improved throughout.
- Bugfix issue in value_spec creation caused by VLM #108
- Add
get_keys function which returns the dataset keys
for a given dataset #102
- Fix issues with
select_dataset(simplify = TRUE) #97
- Update to resolve issues from the dplyr updates
- Add variable cross checks to check consistent use of label, type,
and format
- Add
is_metacore() function to check if it is a metacore
object
- #64
Resolve issue so define and spec readers work when value levels are
empty
- Updates for latest version of {tidyselect}
- Move from XML to xml2 for define.xml processing
- Correct issue with warning on ds_var$core
- Correct bug with not reading the derivation of predecessor and
assigned variables correctly
- Correct typos
- Limits origin value/make all origins lower case
- #47
Improve
yn_to_tf() to be more robust in parsing yes/no
columns
- Adds a supp table to store the
idvar and
qeval information
- Adds
sig_digcolumn to the value_spec
table
- Fixes bugs found in the
get_control_term function and
improves error messages for get_control_term
- Improves internal naming consistency by renaming
define_to_MetaCore to define_to_metacore
- Adds quiet option to readers, to allow users to optionally ignore
the reader warnings
- Creates new example metacore object that is an .rda so much faster
to read in
- Fixes issue with select dataset when variables are duplicated
This fixes the following issues:
- #16 the
metacore function now accepts any empty datasets and creates an empty
dataset with the correct column names and types
- #10 yn
function checks for logicals and returns them
- #11
updated function description to make this clearer
- #12
updated regex so to “[F|f]ormat” so it can accept lower case
- #14
added supp_flag to ds_vars (on a side note we did a really good job with
this it was super easy to change and only required a few edits)
- #15
modified create_tbl so if there are two potential matches in the same
dataset and one is an exact match it uses that
Additionally, it adds the get_control_term function to
get pull out the control term for a given variable.